Title :
Digital image forgeries detection based on blocking artifact
Author :
Zhongmei, Wang ; Yonghong, Long
Author_Institution :
Dept. of Comput. & Commun., Hunan Univ. of Technol. Coll., Zhuzhou, China
Abstract :
Digital image forgery detection becomes an important research topic now in digital image forensics. JPEG as a popular file form for digital image. DCT transformation and quantization are two main parts of JPEG encoding process. Quantization table is used for quantizing the DCT coefficient and have been proved as an effective feature for image forgery detection. In this paper, we describe an approach to detect digital forgeries by checking inconsistencies of JPEG blocks and measure the block quantization error to get the forgery area. Experiment results also demonstrate the validity of the proposed approach.
Keywords :
discrete cosine transforms; feature extraction; image coding; security of data; DCT transformation; JPEG encoding process; Quantization table; blocking artifact; digital image forgery detection; Correlation; Digital images; Discrete cosine transforms; Estimation; Forgery; Quantization; Transform coding; Digital forensics; JPEG compression; Quantization Table; blocking artifact;
Conference_Titel :
Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8883-4
DOI :
10.1109/YCICT.2010.5713093
